• DocumentCode
    1498029
  • Title

    Approximate Capacity of a Class of Gaussian Interference-Relay Networks

  • Author

    Mohajer, Soheil ; Diggavi, Suhas N. ; Fragouli, Christina ; Tse, David N C

  • Volume
    57
  • Issue
    5
  • fYear
    2011
  • fDate
    5/1/2011 12:00:00 AM
  • Firstpage
    2837
  • Lastpage
    2864
  • Abstract
    In this paper, we study a Gaussian relay-interference network, in which relay (helper) nodes are to facilitate competing information flows between different source-destination pairs. We focus on two-stage relay-interference networks where there are weak cross links, causing the networks to behave like a chain of Z Gaussian channels. Our main result is an approximate characterization of the capacity region for such ZZ and ZS networks. We propose a new interference management scheme, termed interference neutralization, which is implemented using structured lattice codes. This scheme allows for over-the-air interference removal, without the transmitters having complete access the interfering signals. This scheme in conjunction a new network decomposition technique provides the approximate characterization. Our analysis of these Gaussian networks is based on insights gained from an exact characterization of the corresponding linear deterministic model.
  • Keywords
    Gaussian channels; channel capacity; channel coding; interference suppression; radio networks; radiofrequency interference; Gaussian channel capacity; Gaussian interference-relay network capacity; Gaussian wireless network; ZS networks; ZZ networks; approximate characterization; interference management scheme; interference neutralization; linear deterministic model; network decomposition technique; relay nodes; source-destination pairs; structured lattice codes; transmitters; two-stage relay-interference networks; Encoding; Interference channels; Noise; Relays; Wireless networks; Deterministic model; Gaussian wireless network; interference neutralization; lattice codes; relay-interference network; structured codes;
  • fLanguage
    English
  • Journal_Title
    Information Theory, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9448
  • Type

    jour

  • DOI
    10.1109/TIT.2011.2120210
  • Filename
    5752438